Literature DB >> 27093958

Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and experimental validations.

Xin Wang1, Yanqi Zhang1, Limin Zhang2, Jiao Li2, Zhongxing Zhou2, Huijuan Zhao2, Feng Gao2.   

Abstract

We present a generalized strategy for direct reconstruction in pharmacokinetic diffuse fluorescence tomography (DFT) with CT-analogous scanning mode, which can accomplish one-step reconstruction of the indocyanine-green pharmacokinetic-rate images within in vivo small animals by incorporating the compartmental kinetic model into an adaptive extended Kalman filtering scheme and using an instantaneous sampling dataset. This scheme, compared with the established indirect and direct methods, eliminates the interim error of the DFT inversion and relaxes the expensive requirement of the instrument for obtaining highly time-resolved date-sets of complete 360 deg projections. The scheme is validated by two-dimensional simulations for the two-compartment model and pilot phantom experiments for the one-compartment model, suggesting that the proposed method can estimate the compartmental concentrations and the pharmacokinetic-rates simultaneously with a fair quantitative and localization accuracy, and is well suitable for cost-effective and dense-sampling instrumentation based on the highly-sensitive photon counting technique.

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Year:  2016        PMID: 27093958     DOI: 10.1117/1.JBO.21.4.046007

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  2 in total

1.  Parameterized level-set based pharmacokinetic fluorescence optical tomography using the regularized Gauss-Newton filter.

Authors:  Omprakash Gottam; Naren Naik; Sanjay Gambhir
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

2.  High-sensitivity dynamic diffuse fluorescence tomography system for fluorescence pharmacokinetics.

Authors:  Limin Zhang; Nan Cheng; Han Liu; Yingxue Pan; Yanqi Zhang; Feng Gao
Journal:  J Biomed Opt       Date:  2022-04       Impact factor: 3.758

  2 in total

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